FlightDelays.csv

This dataset is described on pp. 1-2 of the textbook. You may load it from the dataset URL linked above or from the resampledata package.

library(tidyverse)
DATA <- read_csv("https://raw.githubusercontent.com/STAT-JET-ASU/Datasets/master/Chihara/FlightDelays.csv")
glimpse(DATA)
Observations: 4,029
Variables: 10
$ ID           <dbl> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 1…
$ Carrier      <chr> "UA", "UA", "UA", "UA", "UA", "UA", "UA", "UA", "UA", "U…
$ FlightNo     <dbl> 403, 405, 409, 511, 667, 669, 673, 677, 679, 681, 683, 6…
$ Destination  <chr> "DEN", "DEN", "DEN", "ORD", "ORD", "ORD", "ORD", "ORD", …
$ DepartTime   <chr> "4-8am", "8-Noon", "4-8pm", "8-Noon", "4-8am", "4-8am", …
$ Day          <chr> "Fri", "Fri", "Fri", "Fri", "Fri", "Fri", "Fri", "Fri", …
$ Month        <chr> "May", "May", "May", "May", "May", "May", "May", "May", …
$ FlightLength <dbl> 281, 277, 279, 158, 143, 150, 158, 160, 160, 163, 163, 1…
$ Delay        <dbl> -1, 102, 4, -2, -3, 0, -5, 0, 10, 60, 0, 32, 0, 44, 52, …
$ Delayed30    <chr> "No", "Yes", "No", "No", "No", "No", "No", "No", "No", "…
head(DATA)
# A tibble: 6 x 10
     ID Carrier FlightNo Destination DepartTime Day   Month FlightLength Delay
  <dbl> <chr>      <dbl> <chr>       <chr>      <chr> <chr>        <dbl> <dbl>
1     1 UA           403 DEN         4-8am      Fri   May            281    -1
2     2 UA           405 DEN         8-Noon     Fri   May            277   102
3     3 UA           409 DEN         4-8pm      Fri   May            279     4
4     4 UA           511 ORD         8-Noon     Fri   May            158    -2
5     5 UA           667 ORD         4-8am      Fri   May            143    -3
6     6 UA           669 ORD         4-8am      Fri   May            150     0
# … with 1 more variable: Delayed30 <chr>